My dataset currently has 1 column with different opportunity types. I have another column with a dummy variable as to whether or not the opportunity is a first time client or not. I would like to create a new category within col_opptype based on col_first. Where only 1 category (i.e. a) will be matched to its corresponding col_first I.e., col_opptype
Tag: pandas
pandas groupby dataframes, calculate diffs between consecutive rows
Using pandas, I open some csv files in a loop and set the index to the cycleID column, except the cycleID column is not unique. See below: This prints the 2 columns (cycleID and mean) of the dataframe I am interested in for further computations: The objective is to use the rows corresponding to the same cycleID and calculate the
Streamlit auto populate multiselect widgets to filter dataframe
I have a streamlit app where a user can upload a csv file. I would like streamlit to detect the object/dimension columns and create a multiselect filter for each of them with the unique values inside each of the columns. For example if the user uploads a file with 3 object/dimension, 3 separate multi select filters will be created. I
How to avoid unsupported .nc file while reading from different directory
I have several folders in a directory containing .nc files. While reading, I am getting an error: NETCDF can not read unsupported file Since there are more than 5 thousand files, I don’t know which file is corrupted or unsupported. Is there any way to read files by jumping into another supported file? The code that I am using is:
Remove rows in which string contains other letters than A,C,T,G,N
I’m fairly new to numpy and pandas, let’s say that I have a 2D numpy array and I need to delete all rows in which the second value contain only the letters ‘A’, ‘C’, ‘T’, ‘G’ and ‘N’ so after filtering I can get this I wanted to do 3 for loops that are checking each char one by one
How to set non-adjacent cell range for XlsxWriter Data Validation
I am using the Python XlsxWriter module to add a drop down list using the method data_validation currently I have the set up so I drop duplicates on a Pandas Series and convert that into a list and set the values for the drop down list like so: This works fine however if the list exceeds 255 characters as according
python, How to get smoother value?
Somehow seaborn draws smoother line than actual data. For example, for x-value 0.18, actual data is like 11 but value on smoother line is about 3. How would I get value 3 for the x-value when given the list of data? The actual data are: Answer You can access the plot data with: out:
Repeat pattern using python regex
Well, I’m cleaning a dataset, using Pandas. I have a column called “Country”, where different rows could have numbers or other information into parenthesis and I have to remove them, for example: Australia1, Perú (country), 3Costa Rica, etc. To do this, I’m getting the column and I make a mapping over it. But I have a problem with this regex,
make correlation plot on time series data in python
I want to see a correlation on a rolling week basis in time series data. The reason because I want to see how rolling correlation moves each year. To do so, I tried to use pandas.corr(), pandas.rolling_corr() built-in function for getting rolling correlation and tried to make line plot, but I couldn’t correct the correlation line chart. I don’t know
Issue with conversion of text data into a dataframe
I have a text file where I have several lines and between them, some data which I need to convert to the dataframe(useful data). I iterated the text file line by line and captured the useful data with the help of a regex. Something like this, The data captured look like this I thought to iterate each captured row and